{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d90cbc83",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "#from vk_download import main\n",
    "import scipy.sparse as sprs\n",
    "import time\n",
    "from tqdm.auto import tqdm\n",
    "import os\n",
    "import time\n",
    "import pandas as pd\n",
    "import random\n",
    "import datetime\n",
    "from tqdm.auto import tqdm\n",
    "from threading import Thread\n",
    "from multiprocessing import Process\n",
    "import numpy as np\n",
    "from scipy.sparse import csr_matrix, lil_matrix\n",
    "import scipy.sparse as sprs\n",
    "import os\n",
    "from collections import OrderedDict\n",
    "import shutil\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import networkx as nx\n",
    "from IPython.display import clear_output\n",
    "from statsmodels.stats.proportion import proportion_confint\n",
    "from scipy import stats\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0be3d60a-4ccb-4f4c-b319-3d88d9eab484",
   "metadata": {},
   "source": [
    "# Choose city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5c728b84-cb88-47e1-b587-0b475744cf40",
   "metadata": {},
   "outputs": [],
   "source": [
    "#folder = 'MainCity'  # This city was used in analysis\n",
    "\n",
    "# These two cities were used to check robustness of our results\n",
    "\n",
    "#folder = 'City(1)'  # Robustness 1\n",
    "#folder = 'City(2)'  # Robustness 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fbc1e07-0714-4ef9-8c0e-952c3de40179",
   "metadata": {},
   "source": [
    "# Analyze tie creation probability as a function of nodal and edge independent variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa668424-a03d-4f0d-8da7-06961fadad53",
   "metadata": {},
   "source": [
    "# Load masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d492532b-806d-4956-be8e-4dc6de7fea7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskZeroCommFr = np.load(f'{folder}/Masks/MaskZeroCommFr.npy')\n",
    "MaskOneCommFr = np.load(f'{folder}/Masks/MaskOneCommFr.npy')\n",
    "MaskTwoCommFr = np.load(f'{folder}/Masks/MaskTwoCommFr.npy')\n",
    "MaskTwoMoreCommFr = np.load(f'{folder}/Masks/MaskTwoMoreCommFr.npy')\n",
    "MaskThreeMoreCommFr = np.load(f'{folder}/Masks/MaskThreeMoreCommFr.npy')\n",
    "MaskOneMoreCommFr = np.load(f'{folder}/Masks/MaskOneMoreCommFr.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskFewFew = np.load(f'{folder}/Masks/MaskFewFew.npy')\n",
    "MaskFewAvg = np.load(f'{folder}/Masks/MaskFewAvg.npy')\n",
    "MaskFewMany = np.load(f'{folder}/Masks/MaskFewMany.npy')\n",
    "MaskAvgAvg = np.load(f'{folder}/Masks/MaskAvgAvg.npy')\n",
    "MaskAvgMany = np.load(f'{folder}/Masks/MaskAvgMany.npy')\n",
    "MaskManyMany = np.load(f'{folder}/Masks/MaskManyMany.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskConsCons = np.load(f'{folder}/Masks/MaskConsCons.npy')\n",
    "MaskConsMod = np.load(f'{folder}/Masks/MaskConsMod.npy')\n",
    "MaskConsLib = np.load(f'{folder}/Masks/MaskConsLib.npy')\n",
    "MaskModMod = np.load(f'{folder}/Masks/MaskModMod.npy')\n",
    "MaskModLib = np.load(f'{folder}/Masks/MaskModLib.npy')\n",
    "MaskLibLib = np.load(f'{folder}/Masks/MaskLibLib.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskStaticOpinions = np.load(f'{folder}/Masks/MaskStaticOpinions.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "Target = np.load(f'{folder}/Masks/Target.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskZeroCommFollowees = np.load(f'{folder}/Masks/MaskZeroCommFollowees.npy')\n",
    "MaskOneMoreCommFollowees = np.load(f'{folder}/Masks/MaskOneMoreCommFollowees.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskYoungYoung = np.load(f'{folder}/Masks/MaskYoungYoung.npy')\n",
    "MaskYoungMiddle = np.load(f'{folder}/Masks/MaskYoungMiddle.npy')\n",
    "MaskYoungOld = np.load(f'{folder}/Masks/MaskYoungOld.npy')\n",
    "MaskMiddleMiddle = np.load(f'{folder}/Masks/MaskMiddleMiddle.npy')\n",
    "MaskMiddleOld = np.load(f'{folder}/Masks/MaskMiddleOld.npy')\n",
    "MaskOldOld = np.load(f'{folder}/Masks/MaskOldOld.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskMaleMale = np.load(f'{folder}/Masks/MaskMaleMale.npy')\n",
    "MaskMaleFemale = np.load(f'{folder}/Masks/MaskMaleFemale.npy')\n",
    "MaskFemaleFemale = np.load(f'{folder}/Masks/MaskFemaleFemale.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskBecomeFriends = (Target == 2)\n",
    "\n",
    "MaskWereNotFriends = (Target == 1) | (Target == 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a80c6a4e-e419-4a76-a353-832294914ca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_conf_int(MaskFeature, MaskControl, factor = 1):\n",
    "    \n",
    "    \n",
    "    #mask_target = mask_C_C\n",
    "    #nom = sum(MaskBecomeFriends & MaskFeature & MaskControl)\n",
    "    #denom = sum(MaskWereNotFriends & MaskFeature & MaskControl)\n",
    "\n",
    "    nom = (MaskBecomeFriends * MaskFeature * MaskControl).sum()\n",
    "    denom = (MaskWereNotFriends * MaskFeature * MaskControl).sum()\n",
    "    \n",
    "    clear_output(wait=True)\n",
    "    \n",
    "    print(nom, denom)\n",
    "    \n",
    "    print('')\n",
    "    \n",
    "    (left, right) = proportion_confint(count=nom,    # Number of \"successes\"\n",
    "                                       nobs=denom,    # Number of trials\n",
    "                                       method='wilson',\n",
    "                                       alpha=0.05)\n",
    "    \n",
    "    \n",
    "    \n",
    "    #return (round(left*factor, 2), round(nom/denom*factor, 2), round(right*factor, 2))\n",
    "    return (np.log(left)*factor, (np.log(nom)-np.log(denom))*factor, np.log(right)*factor)\n",
    "    #return (left, nom/denom, right)\n",
    "\n",
    "def PrepareDataForErrorBare (FocalMasks, MaskControl):\n",
    "    \n",
    "    Intervals = []\n",
    "\n",
    "    #MasksCommFr = [MaskZeroCommFr, MaskOneCommFr, MaskTwoCommFr, MaskThreeMoreCommFr]\n",
    "    #MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "\n",
    "    #MaskControl = MaskStaticOpinions\n",
    "\n",
    "    for i in range(len(FocalMasks)) :\n",
    "\n",
    "        FocalMask  = FocalMasks[i]\n",
    "\n",
    "        ConfInt = calculate_conf_int(FocalMask, MaskControl)\n",
    "        Intervals.append(ConfInt)\n",
    "\n",
    "    XPos = [i[1] for i in Intervals]\n",
    "\n",
    "    ErrorValues = np.zeros((2, len(XPos)))\n",
    "    ErrorValues[0] = [(i[1]-i[0]) for i in Intervals]\n",
    "    ErrorValues[1] = [(i[2]-i[1]) for i in Intervals] \n",
    "    \n",
    "    return ErrorValues, XPos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8499eb5a-77bc-48ec-b411-19be7d0c257a",
   "metadata": {},
   "source": [
    "# Figure 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e4f88970-d063-4758-b6be-1aef645ec91b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5071 76918434\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1728 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 24), constrained_layout = True)\n",
    "\n",
    "nrwos = 4\n",
    "ncols = 3\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 25\n",
    "TickSize = 15\n",
    "ElineWidth = 3.5\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 7\n",
    "mewValue = 2\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. Transitivity', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskZeroCommFr, MaskOneCommFr, MaskTwoCommFr, MaskThreeMoreCommFr]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', '0', '1', '2', '$\\geq 3$','')) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('number of common friends', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. Preferential attachment', fontsize=TitleSize)\n",
    "\n",
    "#\\n (0 comm fr)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. Preferential attachment \\n (0 comm fr)', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. Preferential attachment \\n (1 comm fr)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 5)\n",
    "sub.set_title('E. Preferential attachment \\n ($ \\geq 2 $ comm fr)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 6)\n",
    "sub.set_title('F. Opinion selectivity', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskConsCons, MaskConsMod, MaskConsLib, MaskModMod, MaskModLib, MaskLibLib]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            'cons-cons', \n",
    "                                            'cons-mod', \n",
    "                                            'cons-lib', \n",
    "                                            'mod-mod', \n",
    "                                            'mod-lib',\n",
    "                                            'lib-lib', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"opinion\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 7)\n",
    "sub.set_title('G. Opinion selectivity \\n (0 comm fr)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskConsCons, MaskConsMod, MaskConsLib, MaskModMod, MaskModLib, MaskLibLib]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            'cons-cons', \n",
    "                                            'cons-mod', \n",
    "                                            'cons-lib', \n",
    "                                            'mod-mod', \n",
    "                                            'mod-lib',\n",
    "                                            'lib-lib', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"opinion\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 8)\n",
    "sub.set_title('H. Opinion selectivity \\n (1 comm fr)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskConsCons, MaskConsMod, MaskConsLib, MaskModMod, MaskModLib, MaskLibLib]\n",
    "MaskControl = MaskStaticOpinions * MaskOneCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            'cons-cons', \n",
    "                                            'cons-mod', \n",
    "                                            'cons-lib', \n",
    "                                            'mod-mod', \n",
    "                                            'mod-lib',\n",
    "                                            'lib-lib', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"opinion\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 9)\n",
    "sub.set_title('I. Opinion selectivity \\n ($ \\geq 2 $ comm fr)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskConsCons, MaskConsMod, MaskConsLib, MaskModMod, MaskModLib, MaskLibLib]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            'cons-cons', \n",
    "                                            'cons-mod', \n",
    "                                            'cons-lib', \n",
    "                                            'mod-mod', \n",
    "                                            'mod-lib',\n",
    "                                            'lib-lib', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"opinion\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 10)\n",
    "sub.set_title('J. Opinion selectivity \\n (0 comm followees)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskConsCons, MaskConsMod, MaskConsLib, MaskModMod, MaskModLib, MaskLibLib]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFollowees\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            'cons-cons', \n",
    "                                            'cons-mod', \n",
    "                                            'cons-lib', \n",
    "                                            'mod-mod', \n",
    "                                            'mod-lib',\n",
    "                                            'lib-lib', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"opinion\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 11)\n",
    "sub.set_title('K. Age selectivity', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                        '(18-31) - (18-31)', \n",
    "                                        '(18-31) - (31-40)', \n",
    "                                        '(18-31) - (40+)', \n",
    "                                        '(31-40) - (31-40)', \n",
    "                                        '(31-40) - (40+)',\n",
    "                                        '(40+) - (40+)', \n",
    "                                        ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"age\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 12)\n",
    "sub.set_title('L. Gender selectivity', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskMaleMale, MaskMaleFemale, MaskFemaleFemale]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 6), ('', \n",
    "                                        'male-male', \n",
    "                                        'female-male', \n",
    "                                        'female-female', \n",
    "                                        ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"gender\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 6])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f42969e-22c2-4090-82fe-adc12c7a3ca8",
   "metadata": {},
   "source": [
    "# Check robustness - control for other covariates"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c792c97b-3f27-4d0a-8642-17bee565341b",
   "metadata": {},
   "source": [
    "# - Age (Figure C4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "630a3425-5e5c-41dc-a84e-7d31cc5f0d4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "205 15932\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 18), constrained_layout = True)\n",
    "\n",
    "AdditionalMaks = MaskYoungYoung\n",
    "\n",
    "nrwos = 3\n",
    "ncols = 3\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 15\n",
    "TickSize = 15\n",
    "ElineWidth = 3.5\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 7\n",
    "mewValue = 2\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. (0 comm fr) | age (18-31) - (18-31)', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. (1 comm fr) | age (18-31) - (18-31)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. ($ \\geq 2 $ comm fr) | age (18-31) - (18-31)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskYoungOld\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. (0 comm fr) | age (18-31) - (40+)', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 5)\n",
    "sub.set_title('E. (1 comm fr) | age (18-31) - (40+)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 6)\n",
    "sub.set_title('F. ($ \\geq 2 $ comm fr) | age (18-31) - (40+)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskOldOld\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 7)\n",
    "sub.set_title('G. (0 comm fr) | age (40+) - (40+)', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 8)\n",
    "sub.set_title('H. (1 comm fr) | age (40+) - (40+)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 9)\n",
    "sub.set_title('I. ($ \\geq 2 $ comm fr) | age (40+) - (40+)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfff6c76-c7c9-4721-b210-0bee06f85170",
   "metadata": {},
   "source": [
    "# - Gender (Figure C5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a9ecea73-bc3c-41bb-92de-e45cfd2797aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "884 147713\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 18), constrained_layout = True)\n",
    "\n",
    "nrwos = 3\n",
    "ncols = 3\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 15\n",
    "TickSize = 15\n",
    "ElineWidth = 3.5\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 7\n",
    "mewValue = 2\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskFemaleFemale\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. (0 comm fr) | female-female', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. (1 comm fr) | female-female', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. ($ \\geq 2 $ comm fr) | female-female', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskMaleFemale\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. (0 comm fr) | female-male', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 5)\n",
    "sub.set_title('E. (1 comm fr) | female-male', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 6)\n",
    "sub.set_title('F. ($ \\geq 2 $ comm fr)  | female-male', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskMaleMale\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 7)\n",
    "sub.set_title('G. (0 comm fr) | male-male', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 8)\n",
    "sub.set_title('H. (1 comm fr) | male-male', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 9)\n",
    "sub.set_title('I. ($ \\geq 2 $ comm fr) | male-male', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "794ee2ee-7d41-48e6-aeae-873167094900",
   "metadata": {},
   "source": [
    "# - Opinion (Figure C6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "012948f1-1c1a-4f82-9a30-3968decb8453",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "61 14376\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1320217/4128070627.py:47: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ErrorValues[0] = [(i[1]-i[0]) for i in Intervals]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 18), constrained_layout = True)\n",
    "\n",
    "nrwos = 3\n",
    "ncols = 3\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 15\n",
    "TickSize = 15\n",
    "ElineWidth = 3.5\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 7\n",
    "mewValue = 2\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskConsCons\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. (0 comm fr) | cons-cons', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. (1 comm fr) | cons-cons', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. ($ \\geq 2 $ comm fr) | cons-cons', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskConsLib\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. (0 comm fr) | cons-lib', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 5)\n",
    "sub.set_title('E. (1 comm fr) | cons-lib', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 6)\n",
    "sub.set_title('F. ($ \\geq 2 $ comm fr)  | cons-lib', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "AdditionalMaks = MaskLibLib\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 7)\n",
    "sub.set_title('G. (0 comm fr) | lib-lib', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 8)\n",
    "sub.set_title('H. (1 comm fr) | lib-lib', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 9)\n",
    "sub.set_title('I. ($ \\geq 2 $ comm fr) | lib-lib', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskTwoMoreCommFr * AdditionalMaks\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92ed569f-6e0a-484c-92db-e8c77e6a33d6",
   "metadata": {},
   "source": [
    "# Opinion selection - control for other covariates"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d1c5876-98b5-437b-bddf-27cf20732b13",
   "metadata": {},
   "source": [
    "# - Age (Figure C7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "067dde96-a0e9-4af8-87bb-ccb0ac3ee748",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "23 1357491\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MaskSmallDiff = np.load(f'{folder}/Masks/MaskSmallDiff.npy')\n",
    "MaskAvgDiff = np.load(f'{folder}/Masks/MaskAvgDiff.npy')\n",
    "MaskLargeDiff = np.load(f'{folder}/Masks/MaskLargeDiff.npy')\n",
    "MaskHugeDiff = np.load(f'{folder}/Masks/MaskHugeDiff.npy')\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(18, 18), constrained_layout = True)\n",
    "\n",
    "nrwos = 2\n",
    "ncols = 2\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 25\n",
    "TickSize = 20\n",
    "\n",
    "ElineWidth = 3.5\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 20\n",
    "mewValue = 2\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. Opinion selectivity | age ((18-31) - (18-31))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskYoungYoung\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. Opinion selectivity | age ((31-40) - (31-40))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskMiddleMiddle\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. Opinion selectivity | age ((40+) - (40+))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskOldOld\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. Opinion selectivity | age ((18-31) - (40+))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskYoungOld\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e313ec53-fe50-42fa-b736-35eb15d346ab",
   "metadata": {},
   "source": [
    "# - Gender (Figure C8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "14c3dfb4-c2aa-4b00-b1ff-d305e38b449a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49 2621565\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20, 20), constrained_layout = True)\n",
    "\n",
    "nrwos = 2\n",
    "ncols = 2\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 30\n",
    "TickSize = 20\n",
    "\n",
    "ElineWidth = 3.5\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 20\n",
    "mewValue = 2\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. Opinion selectivity (female - female)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskFemaleFemale\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. Opinion selectivity (male - male)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskMaleMale\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, (3, 4))\n",
    "sub.set_title('C. Opinion selectivity (female - male)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskMaleFemale\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8d5e719-2e0b-4c0b-9eea-3509367c4a60",
   "metadata": {},
   "source": [
    "# - Nodal degree (Figure С9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a8307768-c14a-4ae3-bd5a-0ce48955001b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 1133600\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 18), constrained_layout = True)\n",
    "\n",
    "nrwos = 2\n",
    "ncols = 2\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 20\n",
    "TickSize = 20\n",
    "\n",
    "ElineWidth = 3.5\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 20\n",
    "mewValue = 2\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. Opinion selectivity | nodal degree ((1-8) - (1-8))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskFewFew\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. Opinion selectivity | nodal degree ((8-17) - (8-17))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskAvgAvg\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. Opinion selectivity | nodal degree ((17+) - (17+))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskManyMany\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. Opinion selectivity | nodal degree ((1-8) - (17+))', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskFewMany\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', \n",
    "                                    '0-0.25', \n",
    "                                    '0.25-0.5', \n",
    "                                    '0.5-0.75', \n",
    "                                    '0.75-1',\n",
    "                                    ''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie creation', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b00f43b-ccee-4ee5-a36e-a728e79323c1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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